Data Science and MLOps Professional Certificate Course
Hands-on Machine Learning, MLOps & Generative AI Training with Placement Support
- 6-Month (416+ Hours) of Training
- Online / Offline / Hybrid Mode of Delivery
- 10000+ Learners
- 300+ Hiring Partners
- 25+ Tools Covered
In Collaboration with
Start a New Career in
6-12 Months
Get
IBM Certificate
1:1 Placement
Mentorship
300+ Hiring
Partners
Build job-ready skills for roles such as Data Scientist, Machine Learning Engineer, MLOps Engineer, Cloud AI Engineer, and Generative AI Specialist.
Course Overview
Data Science & MLOpsCourse
The Data Science course with placement is an intensive 6-month course crafted to develop industry-ready professionals with strong expertise in Machine Learning, MLOps, and production-grade AI systems. Learners build hands-on proficiency in Python for data science, SQL, data analysis, and ml engineering while working with advanced tools such as TensorFlow, PyTorch, Apache Spark, MLflow, Docker, Kubernetes, Kubeflow, and multi-cloud platforms like AWS, Azure, and GCP.
Through real-world projects, IBM-integrated labs, and end-to-end model deployment workflows, you will graduate with production-ready AI portfolio projects deployable on cloud environments. With dedicated placement assistance, this data science course for beginners equips graduates for high-demand roles such as Data Scientist, Machine Learning Engineer, MLOps Engineer, AI Engineer, and Generative AI Specialist across industries.
Who Should Enroll
Who Should Take Data Science and MLOps Professional Certificate
This job-oriented data science course is designed for diverse career stages — from fresh graduates to seasoned professionals
Who This Course Is Ideal For
Graduates seeking to begin a career in data science and AI domains.
Early-stage professionals aiming to transition into high-growth tech roles.
Mid-career individuals looking to upskill through AI engineering training focused on machine learning pipelines and MLOps skills.
Professionals from diverse fields moving toward data-driven career paths.
Independent learners seeking structured, hands-on industry-focused training.
Minimum Eligibility & Required Knowledge
Bachelor’s degree from any stream or equivalent qualification.
Basic computer knowledge and familiarity with technology is helpful.
Willingness to learn consistently and follow structured training.
Ready to get started ?
Talk to one of our career advisors and find out if this program is right for you
Curriculum
Curriculum of Our Data Science
Foundation & IBM Tools
Build the technical floor before touching a single model. You will cover Python programming, SQL databases, mathematical foundations for ML, and exploratory data analysis, giving you the exact toolkit and mindset that data science work demands on day one.
- Python, Jupyter Notebook, IBM Watson Studio, NumPy
- MySQL
- SciPy
- Pandas, Matplotlib, Seaborn, Pyplot
Machine Learning Core
Move from theory into real model-building. You will work through supervised learning, unsupervised clustering, and deep neural networks - training, tuning, and evaluating models using industry-standard frameworks that hiring managers actually recognize.
- scikit-learn, GridSearchCV, RandomizedSearchCV
- Pandas, NumPy, Matplotlib, Seaborn
- PyTorch, TensorFlow, Keras
- IBM Watson Studio, Jupyter Notebook
Production ML & MLOps
Shipping a model is where most courses stop. This module starts there. You will build automated ML pipelines, containerize and deploy models, run workloads across AWS, Azure, and GCP, and set up monitoring systems that catch failure before it becomes a business problem.
- Apache Spark, Great Expectations
- MLflow, Docker, Kubernetes, Streamlit
- AWS SageMaker, Azure ML Studio, GCP Vertex AI
- Prometheus, Grafana
Generative AI & LLM Engineering
Go beyond basic prompting and into real LLM engineering. You will work with transformer architectures, integrate production-grade LLM APIs, build RAG pipelines grounded in your own data, and design multi-agent systems that execute complex, multi-step tasks autonomously.
- GPT, BERT, Hugging Face Transformers
- OpenAI API, Claude API, Cohere API
- Pinecone, Qdrant, IBM Watson Discovery
- LlamaIndex, AutoGen
Domain Specialization
Apply everything you have built to one real industry. Choose from FinTech, E-Commerce, Healthcare, or Education; and complete three applied projects plus a full domain capstone that goes straight into your portfolio.
- Track A: FinTech — Fraud Detection, Credit Risk, Algorithmic Trading
- Track B: E-Commerce — Recommendation Engines, Demand Forecasting, Customer Analytics
- Track C: Healthcare — Patient Risk, Treatment Personalization, Clinical Outcomes
- Track D: Education — Student Success Prediction, Personalization Engine, Assessment Systems
- Bring everything together into one production-grade project and take it in front of an industry panel. You will go from problem definition through two full development sprints to a live presentation, and exit with placement support lined up.
English Communication & Grammar
Build the communication foundation that every professional setting demands. You will cover grammar, vocabulary, verbal and written communication, non-verbal cues, public speaking, and professional etiquette, finishing with practical application exercises and a framework for continuous improvement.
- Basics of Communication
- Grammar and Vocabulary
- Verbal Communication Skills
- Written Communication
- Non-verbal Communication
- Confidence and Public Speaking
- Professional Communication Etiquette
- Practical Application
- Continuous Learning
Mock Interviews
Prepare for every angle an interviewer can throw at you. This practice assessment module runs you through real interview simulations across multiple question types, so nothing catches you off guard on the day.
- Personal Introduction
- Technical Skills
- Problem-Solving
- Behavioral Insights
- Industry Knowledge
- Hypothetical Scenarios
- Soft Skills
Corporate Etiquette
Learn how professionals actually conduct themselves at work, from the boardroom to the lunch table to the exit interview. You will cover every situation a workplace throws at you before you are in it.
- Making the Most of Meetings
- Dressing Right for the Workplace
- Being Respectful and Thoughtful at Work
- Keeping Your Workspace Clean and Organized
- Using Technology Responsibly
- Dining with Manners in Professional Settings
- Building Relationships Through Networking
- Best Practices for Virtual Meetings and Online Communication
- Managing Your Time and Meeting Deadlines
- Understanding and Respecting Cultural Differences
- Leaving a Job Gracefully
- Sharpen the quantitative and logical reasoning skills that appear in every hiring assessment. You will work through problem types that test numerical ability, analytical thinking, and pattern recognition, building both speed and accuracy under test conditions.
IBM | Industry Partnership
Industry Partnership Courses Offered in Association with IBM
The The job-oriented Data Science course includes programs offered in collaboration with IBM. These programs are offered as an add-on and they feature guided labs, all accessible through the IBM Learning Management System, and bring global best practices directly into the classroom. With IBM’s global reputation and real-world case-driven learning, students graduate with credentials that strengthen their employability in the data science domain and position them at the forefront of tech innovation.
IBM Modules
Data Science Methodology
Machine Learning Fundamentals
Developing GenAI Applications
IBM Guided Labs
Fraud Detection
Taxi Tips
GPT-3 Personal Assistant
Tools & Technolog
Advanced Data Science Tools You’ll Master Through Our Course
In our data science course, you will master advanced tools used across the industry. From python for data science to TensorFlow and PyTorch model training, MLflow experiment tracking, Kubeflow orchestration, and full model deployment across cloud platforms, the tool stack reflects what 2026 hiring managers actually screen candidates for. With hands-on experience and practical applications, you will gain the skills and confidence necessary to get started in high-demand machine learning and MLOps course career paths.
Curriculum
Skills You Will Learn in Our Data Science Certification Course
Python for Data Science
SQL & Data Handling
Data Cleaning & Preprocessing
Exploratory Data Analysis
Statistical Analysis
Machine Learning Modeling
Feature Engineering
Model Evaluation & Tuning
Deep Learning (TensorFlow / PyTorch)
Data Pipelines (Apache Spark)
MLOps (MLflow, CI/CD basics)
Model Deployment
Docker & Kubernetes
Cloud ML (AWS / Azure / GCP)
Model Monitoring
LLM Application Development
Curriculum
Data Science & MLOps Certification You Will Earn
Upon completing the data science course, you will receive a globally recognized data science certification from Win In Life Academy. In addition, learners earn separate certifications for IBM Modules and Guided Labs on Data Science, Machine Learning, and MLOps through IBM’s official e-learning platform. Together, this stacked data science certification combined with IBM module credentials significantly strengthens your professional profile and demonstrates your employability across machine learning and MLOps, and production AI systems roles.
Win In Life Academy Certificat
Globally recognized diploma certificatio
IBM Module Certification
Prompt Engineering, Cognos Analytics, Generative AI & IBM lab
Note:
To secure your Data Science and MLOps Professional course certificate, you must successfully complete the data science training from Win in Life Academy.
Placement Support
The Win In Life Placement Mentorship Program
At Win In Life Academy, we see every learner as a future professional in the making. Our Placement Mentorship Program is part of data science placement support, built to personally guide, nurture, and mould them through every stage of their journey, mentoring each student into a confident, capable professional ready to build a successful career in the current industry.
Assess Your Knowledge & Prepare for Interviews
Learners work closely with expert data science trainers to evaluate their understanding of core concepts and identify areas that need improvement. This phase bridges course learning with interview readiness through structured evaluations, technical skills training, and non-technical mock preparation. With continuous trainer guidance and performance tracking, learners revise their technical understanding, get tips for communication, and build confidence to perform effectively in technical and HR interviews.
Understand Career Roles and Develop Your Profile
In this phase, learners are given a detailed view of the placement process, and expectations are set. They gain clarity on real-world data science career roles, eligibility requirements for different job functions in the IT and related domain, companies that are hiring, and what will be the career path for each of the roles. Guided by trainers, learners get an opportunity to develop their resumes for specific data science job roles. They also get support for optimizing LinkedIn profiles. The process ensures that every learner is strategically positioned for suitable job opportunities and equipped to present a strong professional profile.
Apply for Roles and Attend Interviews
In this phase, learners transition from preparation to real-world opportunities. The Placement Team actively maps each candidate’s profile to suitable job openings, briefs them on role expectations, and provides personalized coaching for upcoming interviews. Through one-on-one guidance, employer coordination, and structured feedback after every interaction, learners gain practical exposure to hiring processes and the confidence to perform effectively. The placement team continues to support ongoing placement efforts and ensures every learner remains connected until successfully placed.
Data Science Roles this Course Prepares You For
MLOps Engineer
- Entry Level
- Mid Level
- Senior level
- ₹6 LPA – ₹12 LPA
- ₹15 LPA – ₹20 LPA
- ₹25 LPA – ₹33 LPA+
Machine Learning Engineer
- Entry Level
- Mid Level
- Senior level
- ₹4 LPA – ₹8 LPA
- ₹10 LPA – ₹18 LPA
- ₹25 LPA – ₹35 LPA+
Data Science Specialist
- Entry Level
- Mid Level
- Senior level
- ₹4 LPA – ₹8 LPA
- ₹10 LPA – ₹18 LPA
- ₹25 LPA – ₹30 LPA+
Cloud AI Engineer
- Entry Level
- Mid Level
- Senior level
- ₹6 LPA – ₹12 LPA
- ₹12 LPA – ₹22 LPA
- ₹30 LPA – ₹45 LPA+
Generative AI Specialist
- Entry Level
- Mid Level
- Senior level
- ₹6 LPA – ₹12 LPA
- ₹12 LPA – ₹25 LPA
- ₹30 LPA – ₹60 LPA+
AI Model Monitoring & Governance Expert
- Entry Level
- Mid Level
- Senior level
- ₹5 LPA – ₹10 LPA
- ₹15 LPA – ₹20 LPA
- ₹25 LPA – ₹45 LPA+
What Our Students Say
The training at WILA empowered me with confidence, real-world skills, and career clarity.
Sharmistha Malakar
WILA's hands-on training and mentorship helped me grow professionally and gave me career direction.
Manupriya M
The comprehensive training and supportive environment at WILA gave me the tools to succeed.
Paramanandhan
WILA's career-focused training transformed my approach to learning and made me job-ready.
Sooryagayathri Sujith
WILA's structured training process helped me build practical skills and confidently approach job opportunities.
Kuncham Vasanth Kumar
The supportive training environment at WILA enhanced my skills and gave me the confidence to excel.
Tejavath Renuka
WILA’s training and placement support helped me gain confidence and prepare effectively for real job opportunities.
Rupa Choudhury
The mentorship and structured approach at WILA helped me stay focused and prepare consistently for opportunities.
Pranamya P Gunaga
WILA’s career preparation process guided me step-by-step, making the transition from learning to interviews much smoother.
Mahesh Babu
WILA helped me stay disciplined throughout training and approach interviews with better clarity and confidence.
Subha Jeyabalan
The training environment at WILA pushed me to improve consistently and prepare seriously for job opportunities.
Vara Prasad
Tools & Technolog
Why Choose WILA for Advanced Data Science and MLOps Professional Certificate Course
This course is designed for diverse career stages — from fresh graduates to seasoned
professionals
Global Accreditations
IBM Program Partner
1:1 Placement Mentorship
72% placed within 6 Months
Industry-Aligned Curriculum
Real-World Projects
Industry Expert Mentors
Flexible Learning Modes
Curated Job Opportunities
FAQ
Frequently Asked Question (FAQs)
Ready to Transform Your Career
Join hundreds of professionals who launched their careers in digital marketing and AI with Win In Life Academy
Is this the best data science course in India for freshers?
This is a job-oriented data science course in India designed for freshers and career switchers. It focuses on practical skills, real-world projects, and placement mentorship aligned with current hiring trends.
What is the average salary after a data science course in India?
In India, entry-level data science salaries typically range between ₹4–10 LPA. Candidates with strong projects, internships, and interview preparation tend to secure higher packages.
What is the duration and fees of this data science course?
The duration of this data science course is 6 months and fees depends on the course fees at the time of enrollment which is subject to change. Please talk to our course counsellors for more detailed information on course fees.
Does this data science course with job placement guarantee a job?
This is a support-based data science course with job placement. You receive mentorship, resume building, and interview preparation, but placement depends on your performance.
What skills are required before joining a data science training institute?
No prior experience is required. This data science training institute starts from basics and builds up to advanced machine learning concepts, making it suitable for beginners.
What projects are included in this machine learning training program?
This data science and machine learning course includes real-world projects like predictive modeling, model deployment through CI/CD, machine learning pipelines for production, and business problem-solving case studies to build a strong portfolio.
What tools and technologies are covered in this AI and ML course?
This Data Science and MLOps course covers Python for data science, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, SQL, MLflow, Kubeflow, and MLOps tools used in real industry maworkflows for deep learning and production AI systems.
Will I get a certificate after completing this data science certification course?
Yes, you will receive a data science certification validating your skills in data analysis, deep learning, ML engineering, and AI.
Is this an online data science course with certificate and internship?
Yes, this is an online data science course with certificate that also includes internship or project-based experience for practical exposure.
Where is this data science course available?
Our Data Science & MLOps course is available in Bangalore, Chennai, and Hyderabad, with both offline and hybrid learning options to suit different schedules of our learners.